Move Redshift Data into a Data Warehouse in Minutes

Redshift is Amazon’s fully managed data warehouse designed for large scale analytics workloads. Panoply provides a Redshift alternative and one that comes with integrations for all of your stored Redshift data.

Panoply incorporates Amazon Redshifts breed data technologies, but without the full ETL pipeline. With Panoply, you can connect and combine your Redshift data with other data sources, and take advantage of Redshift’s strength, without the need to write any custom scripts or build any custom schemas. Panoply provides the strengths of Redshift with less preparation, cutting down the time for end to end data management and providing you with actionable business intelligence.

Load all of your data directly into the Panoply Smart Data Warehouse and create custom dashboards and generate reports from directly within the platform, all in a fraction of the time.

Panoply makes it easy to manage Amazon Redshift

Why Panoply?

Use-Case Optimization

Analyzes queries and data – identifying the best configuration for each use case, adjusting it over time, and building indexes, sortkeys, diskeys, data types, vacuuming, and partitioning.

Query Optimization

Identifies queries that do not follow best practices – such as those that include nested loops or implicit casting – and rewrites them to an equivalent query requiring a fraction of the runtime or resources.

Server Optimization

Optimizes server configurations over time based on query patterns and by learning which server setup works best. The platform switches server types seamlessly and measures the resulting performance.

Updates, Upserts, and Deletions

Supports standard SQL update and upset operations out of the box – without worrying about vacuuming or rebuilding- unlike many analytical databases.

Semi-Structured Data Parsing

Supports semi-structured text values like nested JSON, user-agent strings, some standard log formats, CSV, and serialized Ruby objects – parsing these objects and normalizing them into a relational database design.

Nested Structures

Handles nested structures automatically, flattening them into several tables with a one-to- many relationship. The result is a ready-to- use relational database design for all current and future datasets.

Columnar Storage

Provides seamless data storage and management in a multitiered, columnar storage based on Amazon Redshift, Elasticsearch, and Hadoop or SS3.

Data Tracking and Alerts

Simplifies how you keep track of vast amounts of data – by identifying patterns, providing notification of anomalies, and generating alerts when the results of arbitrary SQL queries exceed predefined thresholds.

Backup and Recovery

Automatically backs up changes to data to a redundant S3 storage, optionally saved in two different availability zones across continents – enabling full recovery to any point in time.

From raw data to analysis in under 10 minutes

Sign up now for a demo or a free trial of the Panoply platform

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